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Marko Angjelichinoski

Showing results (1-10 of 4) with videos related to

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Journal of Neural Engineering|January 22, 2020
Cross-subject decoding of eye movement goals from local field potentialsMarko Angjelichinoski, John Choi, Taposh Banerjee, et al.
IEEE Transactions on Neural Systems and Rehabilitation Engineering : a Publication of the IEEE Engineering in Medicine and Biology Society|May 26, 2021
Deep Pinsker and James-Stein Neural Networks for Decoding Motor Intentions From Limited DataMarko Angjelichinoski, Mohammadreza Soltani, John Choi, et al.
Journal of Neural Engineering|April 17, 2019
Minimax-optimal decoding of movement goals from local field potentials using complex spectral featuresMarko Angjelichinoski, Taposh Banerjee, John Choi, et al.
Frontiers in Computational Neuroscience|March 2, 2026
Cross-subject mapping of neural activity with restricted Boltzmann machinesHaoming Yang, Marko Angjelichinoski, Suya Wu, et al.
Pageof 1

Showing results (1-10 of 4) with videos related to

Sort By:
Pageof 1
Journal of Neural Engineering|January 22, 2020
Cross-subject decoding of eye movement goals from local field potentialsMarko Angjelichinoski, John Choi, Taposh Banerjee, et al.
IEEE Transactions on Neural Systems and Rehabilitation Engineering : a Publication of the IEEE Engineering in Medicine and Biology Society|May 26, 2021
Deep Pinsker and James-Stein Neural Networks for Decoding Motor Intentions From Limited DataMarko Angjelichinoski, Mohammadreza Soltani, John Choi, et al.
Journal of Neural Engineering|April 17, 2019
Minimax-optimal decoding of movement goals from local field potentials using complex spectral featuresMarko Angjelichinoski, Taposh Banerjee, John Choi, et al.
Frontiers in Computational Neuroscience|March 2, 2026
Cross-subject mapping of neural activity with restricted Boltzmann machinesHaoming Yang, Marko Angjelichinoski, Suya Wu, et al.
Pageof 1